PathReader converts your existing policy documents into versioned enforcement rules — then evaluates every agent action as allow, block, or escalate before it executes.
No bespoke engineering. Upload a document, review the extracted rules, publish them — your agents are governed.
PDFs, internal handbooks, compliance guidelines — PathReader extracts the rules automatically using AI.
Each extracted rule is presented for human review with its source quote. Approve, edit, or reject before publishing.
Approved rules become a versioned, auditable policy set. Roll back or retire policies at any time.
Before an agent sends a message, submits a form, or executes a transaction — PathReader returns allow, block, or escalate with a full trace.
Anywhere AI agents take consequential actions, PathReader provides the compliance layer.
Enforce appeal rights disclosures, reason codes, and communication rules on every outbound decision.
Block out-of-policy spending, enforce approval thresholds, and require documentation before submission.
Ensure agents follow clinical communication rules and escalate when regulatory thresholds are crossed.
Turn lengthy compliance handbooks into machine-readable guardrails without manual rule authoring.
We're in early development and working with design partners. If you're deploying AI agents in a regulated or policy-heavy environment, we want to hear from you.